Literature DB >> 29892996

Variability in school children's activity occurs in the recess and before-school periods.

Iku Suzuki1, Masayuki Okuda2, Maki Tanaka3, Shigeru Inoue4, Shigeho Tanaka5, Chiaki Tanaka6.   

Abstract

BACKGROUND: An accurate description of physical activity (PA) at school is required for appropriate health interventions. We examined PA patterns in children, and identified the time periods that influenced them.
METHODS: Forty students in five Japanese primary schools were asked to wear triaxial accelerometers for ≥7 days. We obtained coefficients of variance (CV) at 15 min intervals, and conducted factor analysis of the school periods. A questionnaire was used to investigate where students spent time before school, and during recess.
RESULTS: The amount of PA, and its CV were higher around 8 a.m. (before-school period), 10 a.m. (morning recess), 1 p.m. (lunch recess), and 4 p.m. (commuting home from school). Moderate-vigorous PA (MVPA; ≥3.0 metabolic equivalent units [MET]) was highest during lunch recess and the after-school period (12.9 ± 7.4 min and 12.6 ± 6.2 min, respectively). The percentage of MVPA time was high (>15%) in the before-school period and morning and lunch recesses, but low (10%) in the after-school period. On factor analysis there were differences in PA patterns between the school period and the after-school period. The students who spent their time in the playground logged more MVPA time and less sedentary time (≤1.5 MET) than those who did not spend their time in the playground.
CONCLUSION: Activities before school, and in the morning and lunch recesses influenced daily PA, and were different from after-school PA. Close attention to these periods may help in defining PA parameters during free time at school for PA interventions in children.
© 2018 Japan Pediatric Society.

Entities:  

Keywords:  factor analysis; physical activity; primary school; recess; time segment

Mesh:

Year:  2018        PMID: 29892996     DOI: 10.1111/ped.13616

Source DB:  PubMed          Journal:  Pediatr Int        ISSN: 1328-8067            Impact factor:   1.524


  4 in total

1.  Prediction of Physical Activity Intensity with Accelerometry in Young Children.

Authors:  Chiaki Tanaka; Yuki Hikihara; Takafumi Ando; Yoshitake Oshima; Chiyoko Usui; Yuji Ohgi; Koichi Kaneda; Shigeho Tanaka
Journal:  Int J Environ Res Public Health       Date:  2019-03-15       Impact factor: 3.390

2.  Evidence-Based Overview of Accelerometer-Measured Physical Activity during School Recess: An Updated Systematic Review.

Authors:  Sergio Pulido Sánchez; Damián Iglesias Gallego
Journal:  Int J Environ Res Public Health       Date:  2021-01-12       Impact factor: 3.390

3.  Physical activity and sedentary time of youth in structured settings: a systematic review and meta-analysis.

Authors:  Rafael M Tassitano; R Glenn Weaver; Maria Cecília M Tenório; Keith Brazendale; Michael W Beets
Journal:  Int J Behav Nutr Phys Act       Date:  2020-12-04       Impact factor: 6.457

4.  Results from the Japan 2022 report card on physical activity for children and youth.

Authors:  Chiaki Tanaka; Takafumi Abe; Shigeho Tanaka; Yoichi Hatamoto; Motohiko Miyachi; Shigeru Inoue; John J Reilly
Journal:  J Exerc Sci Fit       Date:  2022-08-27       Impact factor: 3.465

  4 in total

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